To evaluate the performance of dynamic distribution learning on BNNs, we conduct experiments on ImageNet dataset [1]}. In this section, we first introduce the training dataset and details. We then report the accuracy and OPs of DyBNN and compare them with state of the art methods. We analyze the impact of \(DySign\)  and \(DyPReLU\)  in the ablation study shown in Section REF .
